On August 19, Inniti hosted an in-person Summer Seminar event on Making Laboratories Smarter.
Thought leaders and subject-matter experts from LabFlex, Technical University of Denmark (DTU), and Sartorius Data Analytics gave engaging presentations on laboratory digitalisation and automation trends, Industry 4.0, and data analytics.
Malthe Muff, Innti’s CEO and co-founder, welcomed the attendees and gave a brief seminar introduction on the Landscape of Digital Laboratories.
Malthe discussed one of the main hurdles to digitalising laboratories: the perception that digitalisation is only beneficial if you invest significant resources into building completely virtual and automated laboratories.
This perception is not accurate. Laboratories can benefit from any level of digitalisation, from supportive software and automatic data logging to simple process automation.
The guest speaker’s presentations elaborated on this point, focusing on digital trends in laboratories, the advantages of improved data collection, and data-driven solutions.
Digital Trends in Laboratory Design: How IoT may improve efficiency and reduce energy consumption
Stig Blicher - CEO, LabFlex
Laboratories are highly energy consuming and sub-efficient regarding equipment use [uptime] and resource savings. Current technological advances in the digitalisation of fixed and benchtop laboratory equipment provide new ways of controlling, monitoring, and collecting data to improve the usability and energy efficiency of already established laboratories. The technology can also be used to design smart labs that address the issues of energy and other resource consumption.
The talk addressed several state-of-the-art methods used to design laboratories and provided examples of the efficiency increases obtained with the implementation of IoT technology.
Model and Data Requirements for Industry 4.0 Implementation
Professor Krist V. Gernaey - Department of Chemical and Biochemical Engineering, Technical University of Denmark
Industry 4.0 can potentially transform biomanufacturing with the help of digital twins. Models and data form key aspects of digital twins. Modelling approaches for obtaining a digital twin are highlighted, including model validation issues. The need for improved data collection is illustrated with examples of advanced measurement techniques applied to a fermentation process.
Solving Life Science Challenges with Data-Driven Solutions
Johan Hultman - Manager, Embedded Solutions (OEM) & Partners at Sartorius Data Analytics
In a world that is constantly changing and with development cycles and the commercial lifespan of solutions getting shorter and shorter, we have a major challenge ahead of us. Using existing data and learning quickly from new data is vital. We can together make the task more achievable - if we collaborate and drive connectivity and develop out-of-the-box solutions for smart facilities.
Thank you to our valued speakers and attendees for making the event a success. We look forward to hosting more thought leadership events in the future.
For more information on the Summer Seminar and other Inniti events, please contact Emma Kurfis at email@example.com
Inniti® is a laboratory digitalisation and automation company. Our IoT Connector and cloud platform solution enable you to log data from your existing equipment and automate processes.
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